[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"topic-en-task-boundaries-can-skew-continual-learning-results":3},{"cluster":4,"timeline":16},{"id":5,"slug":6,"title":7,"pinned":8,"status":9,"summary":10,"category":11,"language":12,"created_at":13,"merged_into":14,"article_count":15,"first_seen_at":13,"last_updated_at":13},"c4a99a9a-0e66-42bc-bfb3-d6a93839adac","task-boundaries-can-skew-continual-learning-results","Task boundaries can skew continual learning results",false,"active","A new paper shows that how you split a stream into tasks can change continual learning results, even when the data, model, and budget stay fixed.","research","en","2026-07-05T09:04:45.862965+00:00",null,1,[17],{"id":18,"slug":19,"title":7,"summary":10,"category":11,"image_url":20,"cover_image":20,"published_at":21,"is_canonical_seed":22},"13b6551e-f990-4e6b-aa8d-e410b134df43","task-boundaries-can-skew-continual-learning-results-en","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777010808102-k8tq.png","2026-04-24T06:06:31.221+00:00",true]